Scientific Machine Learning: Physics Informed Neural Networks with Craig Gin

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A talk based on the paper Deep learning models for global coordinate transformations that linearise PDEs, published in the European Journal of Applied Mathematics in the special issue Connections Between Deep Learning and Partial Differential Equations